Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study
BackgroundTinnitus is often described as the phantom perception of a sound and is experienced by 5.1% to 42.7% of the population worldwide, at least once during their lifetime. The symptoms often reduce the patient’s quality of life. The TrackYourTinnitus (TYT) mobile health (mHealth) crowdsensing p...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2020-06-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | http://www.jmir.org/2020/6/e15547/ |